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X-WR-CALDESC:Events for NIHR Oxford Health Clinical Research Facility
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UID:679-1743499800-1748968200@oxfordhealthcrf.nihr.ac.uk
SUMMARY:Essential Guide to Grant Applications 2025
DESCRIPTION:A free masterclass for anyone thinking of applying for an applied health or social care research award from the National Institute for Health and Care Research (NIHR) or other competitive peer reviewed funding programmes. \n\n\nThe masterclass will focus on how to sell your research idea by: \n• Understanding what reviewers are looking for \n• Making your application clear and compelling \n• Developing a great research question \n• Presenting a strong methods section \n• Having a good project plan \n• Understanding the importance of equality\, diversity and inclusion\, patient and public involvement and research inclusion \n• Managing intellectual property \n• Showing you have thought sensibly about dissemination and the impact of your work \n\n\n\nRead more online. 
URL:https://oxfordhealthcrf.nihr.ac.uk/event/essential-guide-to-grant-applications-2025/
LOCATION:Online
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UID:631-1744203600-1744205400@oxfordhealthcrf.nihr.ac.uk
SUMMARY:NIHR Oxford BRC Statistics Hub Lunchtime Seminar: Multilevel modelling in clinical trials
DESCRIPTION:Oxford Health BRC colleagues are welcome to join this lunchtime seminar\, organised by the NIHR Oxford BRC Statistics Hub. \nThe seminar is part of a series. Each seminar is 20 minutes long followed by 10 minutes of Q&A\, and will be held via Microsoft Teams. \nMultilevel modelling in clinical trials \nDr Daphne Kounali\, OCTRU Lead Statistician \nWednesday 9th April 2025\, 1:00-1:30pm \nA multilevel model is a statistical tool used to analyze data with a complex dependence structure\, such as when patients are nested within hospitals or when there are multiple levels of treatment providers and geographic locations. In this seminar\, I will define the different types of structures in clinical trials and discuss various applications of multilevel models\, including incorporating repeated measurements\, accounting for drop-out\, and addressing measurement error. I will demonstrate how realistic assumptions and focusing on structure can help understand contextual effects and heterogeneity in outcomes\, providing more precise estimates of treatment effects and predictions. \nNo registration is required. \nClick here to join the session.
URL:https://oxfordhealthcrf.nihr.ac.uk/event/nihr-oxford-brc-statistics-hub-lunchtime-seminar-multilevel-modelling-in-clinical-trials/
LOCATION:Online
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